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//=======================================================================
// Copyright 2001 Jeremy G. Siek, Andrew Lumsdaine, Lie-Quan Lee,
//
// Distributed under the Boost Software License, Version 1.0. (See
// accompanying file LICENSE_1_0.txt or copy at
// http://www.boost.org/LICENSE_1_0.txt)
//=======================================================================
#include <boost/graph/adjacency_list.hpp>
#include <boost/graph/depth_first_search.hpp>
#include <boost/pending/integer_range.hpp>
#include <boost/pending/indirect_cmp.hpp>
#include <iostream>
using namespace boost;
template < typename TimeMap > class dfs_time_visitor:public default_dfs_visitor {
typedef typename property_traits < TimeMap >::value_type T;
public:
dfs_time_visitor(TimeMap dmap, TimeMap fmap, T & t)
: m_dtimemap(dmap), m_ftimemap(fmap), m_time(t) {
}
template < typename Vertex, typename Graph >
void discover_vertex(Vertex u, const Graph & g) const
{
put(m_dtimemap, u, m_time++);
}
template < typename Vertex, typename Graph >
void finish_vertex(Vertex u, const Graph & g) const
{
put(m_ftimemap, u, m_time++);
}
TimeMap m_dtimemap;
TimeMap m_ftimemap;
T & m_time;
};
int
main()
{
// Select the graph type we wish to use
typedef adjacency_list < vecS, vecS, directedS > graph_t;
typedef graph_traits < graph_t >::vertices_size_type size_type;
// Set up the vertex names
enum
{ u, v, w, x, y, z, N };
char name[] = { 'u', 'v', 'w', 'x', 'y', 'z' };
// Specify the edges in the graph
typedef std::pair < int, int >E;
E edge_array[] = { E(u, v), E(u, x), E(x, v), E(y, x),
E(v, y), E(w, y), E(w, z), E(z, z)
};
#if defined(BOOST_MSVC) && BOOST_MSVC <= 1300
graph_t g(N);
for (std::size_t j = 0; j < sizeof(edge_array) / sizeof(E); ++j)
add_edge(edge_array[j].first, edge_array[j].second, g);
#else
graph_t g(edge_array, edge_array + sizeof(edge_array) / sizeof(E), N);
#endif
// Typedefs
typedef boost::graph_traits < graph_t >::vertex_descriptor Vertex;
typedef size_type* Iiter;
// discover time and finish time properties
std::vector < size_type > dtime(num_vertices(g));
std::vector < size_type > ftime(num_vertices(g));
size_type t = 0;
dfs_time_visitor < size_type * >vis(&dtime[0], &ftime[0], t);
depth_first_search(g, visitor(vis));
// use std::sort to order the vertices by their discover time
std::vector < size_type > discover_order(N);
integer_range < size_type > r(0, N);
std::copy(r.begin(), r.end(), discover_order.begin());
std::sort(discover_order.begin(), discover_order.end(),
indirect_cmp < Iiter, std::less < size_type > >(&dtime[0]));
std::cout << "order of discovery: ";
int i;
for (i = 0; i < N; ++i)
std::cout << name[discover_order[i]] << " ";
std::vector < size_type > finish_order(N);
std::copy(r.begin(), r.end(), finish_order.begin());
std::sort(finish_order.begin(), finish_order.end(),
indirect_cmp < Iiter, std::less < size_type > >(&ftime[0]));
std::cout << std::endl << "order of finish: ";
for (i = 0; i < N; ++i)
std::cout << name[finish_order[i]] << " ";
std::cout << std::endl;
return EXIT_SUCCESS;
}